DocumentCode
2605924
Title
Application of entropy-constrained RVQ to coding image subbands
Author
Kossentini, Faouzi ; Chung, Wilson ; Smith, Mark J T
Author_Institution
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
683
Abstract
A recent study on the application of entropy constrained residual vector quantization (EC-RVQ) to subband image coding is discussed. The newly introduced EC-RVQ has produced excellent performance results when applied directly to coding images, and is also more cost efficient than competing vector quantization (VQ) methods which have so far been reported in the literature. Experimental results show that subband coding with EC-RVQ performs very well, and place it among the best techniques presently available in terms of performance. A discussion of the new system is given, and some performance comparisons are presented
Keywords
entropy codes; image coding; vector quantisation; entropy-constrained RVQ; image coding; image subbands; performance comparisons; residual vector quantization; subband coding; Arithmetic; Computational complexity; Contracts; Costs; Entropy coding; Image coding; PSNR; Paper technology; Transform coding; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.393813
Filename
393813
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